Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-25T01:56:13.871Z Has data issue: false hasContentIssue false
  • English
  • Français

Establishing a three-generation prospective study: Bogalusa daughters

Part of: DOHaD on International Women's Day 2020

Published online by Cambridge University Press:  20 June 2019

EW Harville Open the ORCID record for EW Harville [Opens in a new window] ,
D Breckner ,
T Shu ,
M Cooper  and
LA Bazzano
EW Harville*
Affiliation:
Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
D Breckner
Affiliation:
Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
T Shu
Affiliation:
Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
M Cooper
Affiliation:
Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
LA Bazzano
Affiliation:
Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
*
Address for correspondence: EW Harville, Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal St. Ste. 2001, #8318, New Orleans, LA 70112-2715; Tel. 504-988-7327; Fax. 504-988-1568. Email: eharvill@tulane.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

Objective:

The Developmental Origins of Disease hypothesis has spurred increased interest in how prenatal exposures affect lifelong health, while mechanisms such as epigenetics may explain the multigenerational influences on health. Such factors are not well captured within conventional epidemiologic study designs. We explored the feasibility of collecting information on the offspring and grand-offspring of participants in a long-running study.

Design:

The Bogalusa Heart Study is a study, begun in 1973, of life-course cardiovascular health in a semirural population (65% white and 35% black).

Main measures:

Female participants who had previously provided information on their pregnancies were contacted to obtain contact information for their daughters aged 12 and older. Daughters were then contacted to obtain reproductive histories, and invited for a clinic or lab visit to measure cardiovascular risk factors.

Results:

Two hundred seventy-four daughters of 208 mothers were recruited; 81% (223) had a full clinic visit and 19% (51) a phone interview only. Forty-five percent of the daughters were black, and 55% white. Mean and median age at interview was 27, with 15% under the age of 18. The strongest predictors of participation were black race, recent maternal participation in the parent study, and living in or near Bogalusa. Simple correlations for cardiovascular risk factors across generations were between r = 0.19 (systolic blood pressure) and r = 0.39 (BMI, LDL).

Conclusion:

It is feasible to contact the children of study participants even when participants are adults, and initial information on the grandchildren can also be determined in this manner.

Keywords

Transgenerationaldevelopmental origins of health and diseasemethodsepidemiologiccardiovascular healthbirth outcomes
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 11 , Issue 2 , April 2020 , pp. 188 - 195
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Duijts, L, Reiss, IK, Brusselle, G, de Jongste, JC.Early origins of chronic obstructive lung diseases across the life course. Eur J Epidemiol. 2014; 29, 871–885.10.1007/s10654-014-9981-5CrossRefGoogle ScholarPubMed
Koletzko, B, Decsi, T, Molnár, D, Hunty, A.Early nutrition programming and health outcomes in later life: obesity and beyond. 2009. Budapest, Hungary: Springer Science & Business Media.CrossRefGoogle Scholar
Barker, DJ.Fetal origins of coronary heart disease. BMJ (Clinical Research Ed). 1995; 311, 171.CrossRefGoogle ScholarPubMed
Barker, DJ, Eriksson, JG, Forsen, T, Osmond, C.Fetal origins of adult disease: strength of effects and biological basis. Int J Epidemiol. 2002; 31, 1235.CrossRefGoogle ScholarPubMed
Sly, PD.The early origins of asthma: who is really at risk? Curr Opin Allergy Clin Immunol. 2011; 11, 24–28.CrossRefGoogle ScholarPubMed
Galley, JD, Bailey, M, Kamp Dush, C, Schoppe-Sullivan, S, Christian, LM.Maternal obesity is associated with alterations in the gut microbiome in toddlers. PLoS One. 2014; 9, e113026.CrossRefGoogle ScholarPubMed
Sonnenburg, ED, Smits, SA, Tikhonov, M, Higginbottom, SK, Wingreen, NS, Sonnenburg, JL.Diet-induced extinctions in the gut microbiota compound over generations. Nature. 2016; 529, 212–215.CrossRefGoogle ScholarPubMed
Wei, Y, Schatten, H, Sun, QY.Environmental epigenetic inheritance through gametes and implications for human reproduction. Hum Reprod Update. 2015; 21, 194–208.CrossRefGoogle ScholarPubMed
Stegemann, R, Buchner, DA.Transgenerational inheritance of metabolic disease. Semin Cell Dev Biol. 2015; 43, 131–140.CrossRefGoogle ScholarPubMed
Manolio, TA, Collins, FS, Cox, NJ, et al. Finding the missing heritability of complex diseases. Nature. 2009; 461, 747–753.CrossRefGoogle ScholarPubMed
Shasa, DR, Odhiambo, JF, Long, NM, Tuersunjiang, N, Nathanielsz, PW, Ford, SP.Multigenerational impact of maternal overnutrition/obesity in the sheep on the neonatal leptin surge in granddaughters. Int J Obes (Lond). 2015; 39, 695–701.CrossRefGoogle ScholarPubMed
Gonzalez-Bulnes, A, Astiz, S, Ovilo, C, et al.Early-postnatal changes in adiposity and lipids profile by transgenerational developmental programming in swine with obesity/leptin resistance. J Endocrinol. 2014; 223, M17–M29.CrossRefGoogle ScholarPubMed
Plautz, SC, Guest, T, Funkhouser, MA, Salice, CJ.Transgenerational cross-tolerance to stress: parental exposure to predators increases offspring contaminant tolerance. Ecotoxicology. 2013; 22, 854–861.CrossRefGoogle ScholarPubMed
Kimberly, DA, Salice, CJ.If you could turn back time: understanding transgenerational latent effects of developmental exposure to contaminants. Environ Pollut. 2014; 184, 419–425.CrossRefGoogle ScholarPubMed
Taki, FA, Pan, X, Lee, MH, Zhang, B.Nicotine exposure and transgenerational impact: a prospective study on small regulatory microRNAs. Sci Rep. 2014; 4, 7513.CrossRefGoogle ScholarPubMed
Thamotharan, M, Garg, M, Oak, S, et al.Transgenerational inheritance of the insulin-resistant phenotype in embryo-transferred intrauterine growth-restricted adult female rat offspring. Am J Physiol Endocrinol Metab. 2007; 292, E1270–1279.CrossRefGoogle ScholarPubMed
Pinheiro, AR, Salvucci, ID, Aguila, MB, Mandarim-de-Lacerda, CA. Protein restriction during gestation and/or lactation causes adverse transgenerational effects on biometry and glucose metabolism in F1 and F2 progenies of rats. Clin Sci (Lond). 2008; 114, 381–392.CrossRefGoogle ScholarPubMed
Tran, M, Gallo, LA, Jefferies, AJ, Moritz, KM, Wlodek, ME.Transgenerational metabolic outcomes associated with uteroplacental insufficiency. J Endocrinol. 2013; 217, 105–118.CrossRefGoogle ScholarPubMed
Hanafi, MY, Saleh, MM, Saad, MI, Abdelkhalek, TM, Kamel, MA.Transgenerational effects of obesity and malnourishment on diabetes risk in F2 generation. Mol Cell Biochem. 2016; 412, 269–280.CrossRefGoogle ScholarPubMed
Ding, GL, Wang, FF, Shu, J, et al.Transgenerational glucose intolerance with Igf2/H19 epigenetic alterations in mouse islet induced by intrauterine hyperglycemia. Diabetes. 2012; 61, 1133–1142.CrossRefGoogle ScholarPubMed
Gea-Horta, T, Silva Rde, C, Fiaccone, RL, Barreto, ML, Velasquez-Melendez, G.Factors associated with nutritional outcomes in the mother-child dyad: a population-based cross-sectional study. Public Health Nutr. 2016; 19, 2725–2733.CrossRefGoogle ScholarPubMed
Liu, Y, Chen, HJ, Liang, L, Wang, Y.Parent-child resemblance in weight status and its correlates in the United States. PLoS One. 2013; 8, e65361.CrossRefGoogle ScholarPubMed
Dearth-Wesley, T, Gordon-Larsen, P, Adair, LS, Zhang, B, Popkin, BM.Longitudinal, cross-cohort comparison of physical activity patterns in Chinese mothers and children. Int J Behav Nutr Phys Act. 2012; 9, 39.CrossRefGoogle ScholarPubMed
An investigation of coronary heart disease in families: the Framingham offspring study. Am J Epidemiol. 2017; 185, 1093–1102.CrossRefGoogle Scholar
Cruickshanks, KJ, Nondahl, DM, Johnson, LJ, et al.Generational differences in the 5-year incidence of age-related macular degeneration. JAMA Ophthalmol. 2017; 135, 1417–1423.CrossRefGoogle ScholarPubMed
Dougan, MM, Willett, WC, Michels, KB.Prenatal vitamin intake during pregnancy and offspring obesity. Int J Obes (Lond). 2015; 39, 69–74.CrossRefGoogle ScholarPubMed
Ellison, GT, de Wet, T, Matshidze, KP, Cooper, P.The reliability and validity of self-reported reproductive history and obstetric morbidity amongst Birth to Ten mothers in Soweto. Curationis. 2000; 23, 76–80.CrossRefGoogle ScholarPubMed
Rice, F, Lewis, A, Harold, G, et al.Agreement between maternal report and antenatal records for a range of pre and peri-natal factors: the influence of maternal and child characteristics. Early Hum Dev. 2007; 83, 497–504.CrossRefGoogle ScholarPubMed
Troude, P, L’Helias, LF, Raison-Boulley, AM, et al.Perinatal factors reported by mothers: do they agree with medical records? Eur J Epidemiol. 2008; 23, 557–564.10.1007/s10654-008-9268-9CrossRefGoogle ScholarPubMed
Marian, AJ.Elements of “missing heritability”. Curr Opin Cardiol. 2012; 27, 197–201.CrossRefGoogle Scholar
Knuiman, MW, Divitini, ML, Welborn, TA, Bartholomew, HC.Familial correlations, cohabitation effects, and heritability for cardiovascular risk factors. Ann Epidemiol. 1996; 6, 188–194.CrossRefGoogle ScholarPubMed
Harville, EW, Jacobs, MB, Qi, L, Chen, W, Bazzano, LA.Multigenerational cardiometabolic risk as a predictor of birth outcomes: the Bogalusa Heart Study. J Pediatr. 2017; 181, 154–162.CrossRefGoogle ScholarPubMed
Naess, O, Stoltenberg, C, Hoff, DA, et al.Cardiovascular mortality in relation to birth weight of children and grandchildren in 500, 000 Norwegian families. Eur Heart J. 2013; 34, 3427–3436.CrossRefGoogle ScholarPubMed
Miller, LL, Pembrey, M, Davey Smith, G, Northstone, K, Golding, J.Is the growth of the fetus of a non-smoking mother influenced by the smoking of either grandmother while pregnant? PLoS One. 2014; 9, e86781.CrossRefGoogle ScholarPubMed
Golding, J, Northstone, K, Gregory, S, Miller, LL, Pembrey, M.The anthropometry of children and adolescents may be influenced by the prenatal smoking habits of their grandmothers: a longitudinal cohort study. Am J Hum Biol. 2014; 26, 731–739.CrossRefGoogle ScholarPubMed
Agius, R, Savona-Ventura, C, Vassallo, J.Transgenerational metabolic determinants of fetal birth weight. Exp Clin Endocrinol Diabetes. 2013; 121, 431–435.Google ScholarPubMed
Bygren, LO, Tinghog, P, Carstensen, J, et al.Change in paternal grandmothers’ early food supply influenced cardiovascular mortality of the female grandchildren. BMC Genet. 2014; 15, 12.CrossRefGoogle ScholarPubMed
Davis, MM, McGonagle, K, Schoeni, RF, Stafford, F.Grandparental and parental obesity influences on childhood overweight: implications for primary care practice. J Am Board Fam Med. 2008; 21, 549–554.CrossRefGoogle ScholarPubMed
Ishikuro, M, Obara, T, Osanai, T, et al.Strategic methods for recruiting grandparents: the Tohoku medical megabank birth and three-generation cohort study. Tohoku J Exp Med. 2018; 246, 97–105.CrossRefGoogle ScholarPubMed
Hughes, D, Hutchinson, A, Prichard, I, Chapman, J, Wilson, C.Challenges associated with recruiting multigenerational, multicultural families into a randomised controlled trial: balancing feasibility with validity. Contemp Clin Trials. 2015; 43, 185–193.CrossRefGoogle ScholarPubMed
Beech, BM, Bruce, MA, Crump, ME, Hamilton, GE.The Jackson heart KIDS pilot study: theory-informed recruitment in an African American population. J Racial Ethn Health Disparities. 2017; 4, 288–296.CrossRefGoogle Scholar
Taouk, L, Schulkin, J.Transgenerational transmission of pregestational and prenatal experience: maternal adversity, enrichment, and underlying epigenetic and environmental mechanisms. J Dev Orig Health Dis. 2016; 7, 588–601.CrossRefGoogle ScholarPubMed
Vassoler, FM, Sadri-Vakili, G.Mechanisms of transgenerational inheritance of addictive-like behaviors. Neuroscience. 2014; 264, 198–206.CrossRefGoogle ScholarPubMed
Karatsoreos, IN, Thaler, JP, Borgland, SL, Champagne, FA, Hurd, YL, Hill, MN.Food for thought: hormonal, experiential, and neural influences on feeding and obesity. J Neurosci. 2013; 33, 17610–17616.CrossRefGoogle ScholarPubMed
Youngson, NA, Whitelaw, E.Transgenerational epigenetic effects. Annu Rev Genomics Hum Genet. 2008; 9, 233–257.CrossRefGoogle ScholarPubMed
Jirtle, RL, Skinner, MK.Environmental epigenomics and disease susceptibility. Nat Rev Genet. 2007; 8, 253.CrossRefGoogle ScholarPubMed
Supplementary material: File

Harville et al. supplementary material

Table S1

Download Harville et al. supplementary material(File)
File 11.5 KB